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167 | def generate_participation_stats(dblp_file, output_dir):
"""Generate AE participation and badge-rate statistics."""
if not os.path.exists(dblp_file):
logger.error(f"Error: DBLP file not found: {dblp_file}")
logger.info(" Run scripts/download_dblp.sh first.")
return None
# Load artifacts_by_conference for per-conference badge counts
abc_path = os.path.join(output_dir, "_data/artifacts_by_conference.yml")
if not os.path.exists(abc_path):
logger.error(f"Error: {abc_path} not found — run generate_statistics first")
return None
with open(abc_path) as f:
by_conference = yaml.safe_load(f)
# Build per-conference/year AE counts and badge counts from pipeline data
ae_data = {} # (conf, year) -> {ae_papers, available, functional, ...}
for conf in by_conference:
name = conf["name"]
for yd in conf["years"]:
key = (name, yd["year"])
ae_data[key] = {
"ae_papers": yd["total"],
"available": yd.get("available", 0),
"functional": yd.get("functional", 0),
"reproduced": yd.get("reproducible", 0),
"category": conf["category"],
"venue_type": conf.get("venue_type", "conference"),
}
# Parse DBLP XML for total paper counts
dblp_counts = _count_papers_from_dblp(dblp_file, set(ae_data.keys()))
# Build stats entries
stats = []
for (conf, year), info in sorted(ae_data.items()):
total_papers = dblp_counts.get((conf, year))
if not total_papers:
logger.warning(f" ⚠ {conf} {year}: no DBLP data — skipping")
continue
ae_papers = info["ae_papers"]
if ae_papers > total_papers:
logger.info(
f" ⚠ {conf} {year}: DBLP data incomplete ({total_papers} papers in DBLP, {ae_papers} AE papers) — skipping"
)
continue
participation_rate = round(ae_papers / total_papers * 100, 1)
area = conf_area(conf)
entry = {
"conference": conf,
"year": year,
"category": area,
"venue_type": info["venue_type"],
"total_papers": total_papers,
"ae_papers": ae_papers,
"participation_pct": participation_rate,
"available": info["available"],
"functional": info["functional"],
"reproduced": info["reproduced"],
"available_pct": round(info["available"] / total_papers * 100, 1),
"functional_pct": round(info["functional"] / total_papers * 100, 1),
"reproduced_pct": round(info["reproduced"] / total_papers * 100, 1),
}
stats.append(entry)
logger.info(f" {conf} {year}: {ae_papers}/{total_papers} = {participation_rate}% AE participation")
if not stats:
logger.info("No participation data generated")
return None
# Sort by conference then year
stats.sort(key=lambda x: (x["conference"], x["year"]))
# Compute area-level summaries
area_year = defaultdict(lambda: defaultdict(lambda: {"ae": 0, "total": 0, "avail": 0, "func": 0, "repro": 0}))
for s in stats:
ay = area_year[s["category"]][s["year"]]
ay["ae"] += s["ae_papers"]
ay["total"] += s["total_papers"]
ay["avail"] += s["available"]
ay["func"] += s["functional"]
ay["repro"] += s["reproduced"]
area_summaries = {}
for area in sorted(area_year):
years = sorted(area_year[area])
area_summaries[area] = {
"years": years,
"participation_pct": [
round(area_year[area][y]["ae"] / area_year[area][y]["total"] * 100, 1) for y in years
],
"available_pct": [round(area_year[area][y]["avail"] / area_year[area][y]["total"] * 100, 1) for y in years],
"functional_pct": [round(area_year[area][y]["func"] / area_year[area][y]["total"] * 100, 1) for y in years],
"reproduced_pct": [
round(area_year[area][y]["repro"] / area_year[area][y]["total"] * 100, 1) for y in years
],
}
output = {
"by_conference_year": stats,
"by_area": area_summaries,
}
# Write outputs
os.makedirs(os.path.join(output_dir, "_data"), exist_ok=True)
os.makedirs(os.path.join(output_dir, "assets/data"), exist_ok=True)
yml_path = os.path.join(output_dir, "_data/participation_stats.yml")
with open(yml_path, "w") as f:
yaml.dump(output, f, default_flow_style=False, sort_keys=False)
json_path = os.path.join(output_dir, "assets/data/participation_stats.json")
with open(json_path, "w") as f:
json.dump(output, f, indent=2)
logger.info(f"\n✅ Participation stats: {len(stats)} conference/year entries")
logger.info(f" → {yml_path}")
logger.info(f" → {json_path}")
return output
|